Co-variations of cerebral blood volume and single neurons discharge during resting state and visual cognitive tasks in non-human primates

Claron, Julien; Provansal, Matthieu; Salardaine, Quentin; Tissier, Pierre; Dizeux, Alexandre; Deffieux, Thomas; Picaud, Serge; Tanter, Mickaël; Arcizet, Fabrice; Pouget, Pierre

doi:10.1016/j.celrep.2023.112369

Cited by 10 publications

(8 citation statements)

References 60 publications

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“…fUS neuroimaging uses ultrafast pulse-echo imaging to simultaneously sense changes in cerebral blood volume (CBV) from multiple brain regions 6 . These CBV changes are well correlated with single-neuron activity and local field potentials 7 , 8 . It has a high sensitivity to slow blood flow (∼1 mm s −1 velocity) and balances good spatiotemporal resolution (100 μm; <1 s) with a large and deep field of view (∼2 cm; Extended Data Fig.…”

Section: Mainmentioning

confidence: 79%

Decoding motor plans using a closed-loop ultrasonic brain–machine interface

Griggs,

Norman,

Deffieux

et al. 2023

Nat Neurosci

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Brain–machine interfaces (BMIs) enable people living with chronic paralysis to control computers, robots and more with nothing but thought. Existing BMIs have trade-offs across invasiveness, performance, spatial coverage and spatiotemporal resolution. Functional ultrasound (fUS) neuroimaging is an emerging technology that balances these attributes and may complement existing BMI recording technologies. In this study, we use fUS to demonstrate a successful implementation of a closed-loop ultrasonic BMI. We streamed fUS data from the posterior parietal cortex of two rhesus macaque monkeys while they performed eye and hand movements. After training, the monkeys controlled up to eight movement directions using the BMI. We also developed a method for pretraining the BMI using data from previous sessions. This enabled immediate control on subsequent days, even those that occurred months apart, without requiring extensive recalibration. These findings establish the feasibility of ultrasonic BMIs, paving the way for a new class of less-invasive (epidural) interfaces that generalize across extended time periods and promise to restore function to people with neurological impairments.

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Section: Mainmentioning

confidence: 79%

Decoding motor plans using a closed-loop ultrasonic brain–machine interface

Griggs,

Norman,

Deffieux

et al. 2023

Nat Neurosci

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“…In contrast, micro-arousals, especially during napping, are accompanied by a sympathetic discharge causing tachycardia and peripheral vasoconstriction, among other things 67 . Thus, subjects who doze off in MRI show cardiorespiratory variations that can alter the MRI signal 32 , 68 . Finally, these global and periodic variations in phase with rapid sleep–wake alternations can simulate cortico-cortical pseudo connectivity.…”

Section: Discussionmentioning

confidence: 99%

Modulate the impact of the drowsiness on the resting state functional connectivity

Joliot,

Cremona,

Tzourio

et al. 2024

Sci Rep

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This research explores different methodologies to modulate the effects of drowsiness on functional connectivity (FC) during resting-state functional magnetic resonance imaging (RS-fMRI). The study utilized a cohort of students (MRi-Share) and classified individuals into drowsy, alert, and mixed/undetermined states based on observed respiratory oscillations. We analyzed the FC group difference between drowsy and alert individuals after five different processing methods: the reference method, two based on physiological and a global signal regression of the BOLD time series signal, and two based on Gaussian standardizations of the FC distribution. According to the reference method, drowsy individuals exhibit higher cortico-cortical FC than alert individuals. First, we demonstrated that each method reduced the differences between drowsy and alert states. The second result is that the global signal regression was quantitively the most effective, minimizing significant FC differences to only 3.3% of the total FCs. However, one should consider the risks of overcorrection often associated with this methodology. Therefore, choosing a less aggressive form of regression, such as the physiological method or Gaussian-based approaches, might be a more cautious approach. Third and last, using the Gaussian-based methods, cortico-subcortical and intra-default mode network (DMN) FCs were significantly greater in alert than drowsy subjects. These findings bear resemblance to the anticipated patterns during the onset of sleep, where the cortex isolates itself to assist in transitioning into deeper slow wave sleep phases, simultaneously disconnecting the DMN.

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“…4F), with most of the errors occurring at the transitions between the two task states. This effect is likely due in part to the latency between the neural activity and resulting hemodynamic response (3,4).…”

Section: Pmma Acoustic Window Allows Fusi Recording Through the Skull...mentioning

confidence: 99%

“…On the basis of power Doppler imaging, fUSI measures changes in cerebral blood volume within a severalcentimeters field of view by detecting the backscattered echoes from moving red blood cells. These cerebral blood volume changes are correlated with single neuron activity and local field potentials via neurovascular coupling (3,4). The spatial precision of fUSI approaches 100 μm with a framerate of up to 10 Hz, allowing fUSI to detect the function of small populations of neurons (5).…”

Section: Introductionmentioning

confidence: 99%

“…2 division of Biology and Biological engineering, california institute of Technology, pasadena, ca 91125, USa. 3 USc neurorestoration center and the departments of neurosurgery and neurology, University of Southern california, los angeles, ca 90033, USa. 4 Stevens neuroimaging and informatics institute, University of Southern california, los angeles, ca 90033, USa.…”

Section: Introductionmentioning

confidence: 99%

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Functional ultrasound imaging of human brain activity through an acoustically transparent cranial window

Rabut,

Norman,

Griggs

et al. 2024

Sci. Transl. Med.

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Visualization of human brain activity is crucial for understanding normal and aberrant brain function. Currently available neural activity recording methods are highly invasive, have low sensitivity, and cannot be conducted outside of an operating room. Functional ultrasound imaging (fUSI) is an emerging technique that offers sensitive, large-scale, high-resolution neural imaging; however, fUSI cannot be performed through the adult human skull. Here, we used a polymeric skull replacement material to create an acoustic window compatible with fUSI to monitor adult human brain activity in a single individual. Using an in vitro cerebrovascular phantom to mimic brain vasculature and an in vivo rodent cranial defect model, first, we evaluated the fUSI signal intensity and signal-to-noise ratio through polymethyl methacrylate (PMMA) cranial implants of different thicknesses or a titanium mesh implant. We found that rat brain neural activity could be recorded with high sensitivity through a PMMA implant using a dedicated fUSI pulse sequence. We then designed a custom ultrasound-transparent cranial window implant for an adult patient undergoing reconstructive skull surgery after traumatic brain injury. We showed that fUSI could record brain activity in an awake human outside of the operating room. In a video game “connect the dots” task, we demonstrated mapping and decoding of task-modulated cortical activity in this individual. In a guitar-strumming task, we mapped additional task-specific cortical responses. Our proof-of-principle study shows that fUSI can be used as a high-resolution (200 μm) functional imaging modality for measuring adult human brain activity through an acoustically transparent cranial window.

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Co-variations of cerebral blood volume and single neurons discharge during resting state and visual cognitive tasks in non-human primates

Cited by 10 publications

References 60 publications

Decoding motor plans using a closed-loop ultrasonic brain–machine interface

Decoding motor plans using a closed-loop ultrasonic brain–machine interface

Modulate the impact of the drowsiness on the resting state functional connectivity

Functional ultrasound imaging of human brain activity through an acoustically transparent cranial window

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